Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

AI Engineer

Eligo Recruitment
Reading
6 months ago
Applications closed

Related Jobs

View all jobs

Data Scientist / AI Engineer - Python, TDD, Observability

Machine Learning Engineer – Insurance

Lead Data Engineer

Senior Data Analyst

Data Scientist - Contract

Computer Vision Lead

Are you an Engineer enthusiastic about pushing the boundaries of AI in a fast-paced, high-impact environment?In thisAI Engineerrole you’ll  be required to design and implement advanced AI solutions, integrating them across all facets of operations—from predictive analytics and algorithmic trading to enhancing customer interactions.This is your opportunity to work on transformative AI projects that redefine the future of financial technology.Why Apply to this AI Engineer role?

  • Work on real-world AI innovations that drive efficiency, automation, and performance at scale.
  • Collaborate with an elite team of AI researchers, data scientists, and engineers in a forward-thinking, innovation-led culture.
  • Competitive compensation, career growth, and access to the latest AI technologies to enhance your expertise and professional trajectory.

As anAI Engineer, you will lead the development and deployment of sophisticated AI-driven systems that power this financial business.Your expertise will shape high-performance, scalable, and autonomous AI solutions that optimise decision-making, automate complex processes, and deliver industry-leading results.Key responsibilities of this AI Engineer role:Develop and deployAI-driven models, including deep learning, reinforcement learning, and graph neural networks for predictive analytics and trading.BuildNLP...

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.

The Future of Machine Learning Jobs: Careers That Don’t Exist Yet

Machine learning (ML) has become one of the most powerful forces reshaping the modern world. From voice assistants and recommendation engines to fraud detection and medical imaging, it underpins countless applications. ML is no longer confined to research labs—it powers business models, public services, and consumer technologies across the globe. In the UK, demand for machine learning professionals has risen dramatically. Organisations in finance, retail, healthcare, and defence are embedding ML into their operations. Start-ups in Cambridge, London, and Edinburgh are pioneering innovations, while government-backed initiatives aim to position the UK as a global AI leader. Salaries for ML engineers and researchers are among the highest in the tech sector. Yet despite its current importance, machine learning is only at the beginning of its journey. Advances in generative AI, quantum computing, robotics, and ethical governance will reshape the profession. Many of the most vital machine learning jobs of the next two decades don’t exist today. This article explores why new careers will emerge, the roles likely to appear, how today’s roles will evolve, why the UK is well positioned, and how professionals can prepare now.